code: def read_depth(self, filename):
      depth = np.array(
          read_pfm(filename)[0], dtype=np.float32
      )  # (800, 800)
      return depth
  
file_path: slimmerf/dataLoader/blender.py
imports: import torch, cv2
  from torch.utils.data import Dataset
  import json
  from tqdm import tqdm
  import os
  from PIL import Image
  from torchvision import transforms
  from .ray_utils import *
label_desc: Use image node_id 2 for calling the BlenderDataset obj's underlying member method code with example usage: obj.read_depth(filename) and returns: depth